Evidence map›Paper›PMID 30992072›Full record

ArticleBMC medical informatics and decision making2019

Falls Sensei: a serious 3D exploration game to enable the detection of extrinsic home fall hazards for older adults.

Arthur G Money, Anita Atwal, Emily Boyce, Sophie Gaber, Susan Windeatt, Kyriakos Alexandrou

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
9.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Trial
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  6. Article
  7. Article
  8. Review
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  10. Review
  11. Article
  12. Use of Virtual Reality Technology to Support the Home Modification Process: A Scoping Review.International journal of environmental research and public health · 2021
    Article
  13. Occupational Therapy and the Use of Technology on Older Adult Fall Prevention: A Scoping Review.International journal of environmental research and public health · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 2 countries.

Arthur G MoneyDepartment of Computer Science, Brunel University London, Uxbridge, UB8 3PH, UK. arthur.money@brunel.ac.uk.ORCID 0000-0003-1063-3680
Anita AtwalFaculty of Health and Social Care, London South Bank University, London, SE1 0AA, UK.
Emily BoyceNorth London Forensic Service, Barnet, Enfield and Haringey Mental Health NHS Trust, Enfield, EN2 8JL, UK.
Sophie GaberDepartment of Neurobiology, Care Sciences & Society, Division of Occupational Therapy, Karolinska Institutet, SE-171 77, Stockholm, Sweden.
Susan WindeattCIS Westminster Rehabilitation Service, Gordon Hospital London, CNWL NHS Foundation Trust, SW1V 2RH, London, UK.
Kyriakos AlexandrouProgramonks, Eleftheriou Venizelou 1 Athienou, 7600, Larnaca, Cyprus.
Barnet Enfield and Haringey Mental Health Trust · GBBrunel University of London · GBKarolinska Institutet · SELondon South Bank University · GBThe Gordon Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFalls are the main cause of death and injury for older adults in the UK. Many of these falls occur within the home as a result of extrinsic falls risk factors such as poor lighting, loose/uneven flooring, and clutter. Falls education plays an important role in self-management education about extrinsic hazards and is typically delivered via information leaflets, falls apps, and educational booklets. Serious games have the potential of delivering an engaging and informative alternative to traditional methods but almost exclusively, these are currently delivered as exergaming applications that focus solely on intrinsic falls risk factors. This study presents 'Falls Sensei' a first-person 3D exploration game that aims to educate older adults about extrinsic falls risk factors within the home environment. After presenting Falls Sensei, game usability and older adults' perceptions and attitudes towards using the game in practice are explored.

methodsThis study involved 15 community dwelling older adults. After playing the Falls Sensei game, participants completed a Systems Usability Scale (SUS) questionnaire and post task interview, and follow-up interviews three weeks later. Inductive and deductive thematic template analysis, informed by the Unified Theory of Acceptance and Use of Technology model, was used to analyse the think-aloud, post-task and follow-up interview transcripts. Descriptive statistical analysis and one-sampled t-tests were used to analyse log-file data and SUS responses.

resultsThree high-level themes emerged from the analysis of transcriptions: Performance Expectancy; Effort Expectancy; Social Influence. The SUS score was 77.5/100 which indicates 'Good' levels of usability. Interestingly, reported usability of the game increased with participant age. Participants were positive about the usability of the game (p < = 0.05 for 9/10 items). The most memorable fall hazards were those most commonly encountered in the game or those most challenging to participants.

conclusionsThe results support the use of serious games as an engaging tool for educating older adults about extrinsic falls risk factors. Awareness of home hazard detection was raised by the game, and some older adults became more aware for the need to adapt their own homes after gameplay. Further research would be needed to draw comparisons with established interventions.

Indexed as

Imaging, Three-DimensionalIndependent LivingVideo GamesAccidental FallsAgedAged, 80 and overFemaleHumansMaleSoftwareSurveys and QuestionnairesUnited Kingdom3DFalls preventionGame-based learningHealth educationOccupational therapyOlder adultsSerious gamesVirtual reality

Identifiers

PMID30992072
PMCPMC6469143
OpenAlexW2945784378

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.